scispace - formally typeset
Search or ask a question
Institution

Hong Kong Baptist University

EducationHong Kong, China
About: Hong Kong Baptist University is a education organization based out in Hong Kong, China. It is known for research contribution in the topics: China & Population. The organization has 7811 authors who have published 18919 publications receiving 555274 citations. The organization is also known as: Hong Kong Baptist College & HKBU.


Papers
More filters
Posted Content
TL;DR: This work proposes a new estimation method by incorporating the sample size that greatly improves existing methods and provides a nearly unbiased estimate of the true sample standard deviation for normal data and a slightly biased estimate for skewed data.
Abstract: In systematic reviews and meta-analysis, researchers often pool the results of the sample mean and standard deviation from a set of similar clinical trials. A number of the trials, however, reported the study using the median, the minimum and maximum values, and/or the first and third quartiles. Hence, in order to combine results, one may have to estimate the sample mean and standard deviation for such trials. In this paper, we propose to improve the existing literature in several directions. First, we show that the sample standard deviation estimation in Hozo et al. (2005) has some serious limitations and is always less satisfactory in practice. Inspired by this, we propose a new estimation method by incorporating the sample size. Second, we systematically study the sample mean and standard deviation estimation problem under more general settings where the first and third quartiles are also available for the trials. Through simulation studies, we demonstrate that the proposed methods greatly improve the existing methods and enrich the literature. We conclude our work with a summary table that serves as a comprehensive guidance for performing meta-analysis in different situations.

1,812 citations

Journal ArticleDOI
TL;DR: Patterns of the epidemiological transition with a composite indicator of sociodemographic status, which was constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population, were quantified.

1,609 citations

Journal ArticleDOI
TL;DR: In this paper, a social exchange model of employee work attitudes and behaviors was used to test a LISREL results revealed that whereas the three organizational justice dimensions (distributive, procedural and interactional) were related to trust in organization only interactional justice was related with trust in supervisor.
Abstract: Data obtained from full-time employees of a public sector organization in India were used to test a social exchange model of employee work attitudes and behaviors. LISREL results revealed that whereas the three organizational justice dimensions (distributive, procedural and interactional) were related to trust in organization only interactional justice was related to trust in supervisor. The results further revealed that relative to the hypothesized fully mediated model a partially mediated model better fitted the data. Trust in organization partially mediated the relationship between distributive and procedural justice and the work attitudes of job satisfaction, turnover intentions, and organizational commitment but fully mediated the relationship between interactional justice and these work attitudes. In contrast, trust in supervisor fully mediated the relationship between interactional justice and the work behaviors of task performance and the individually- and organizationally-oriented dimensions of citizenship behavior.

1,574 citations

Journal ArticleDOI
TL;DR: This paper conceptualized the use of online social networks as intentional social action and examined the relative impact of social influence, social presence, and the five key values from the uses and gratification paradigm on The authors-Intention to useOnline social networks.

1,397 citations

Journal ArticleDOI
TL;DR: This article investigates the optimal estimation of the sample mean for meta-analysis from both theoretical and empirical perspectives and proposes estimators capable to serve as “rules of thumb” and will be widely applied in evidence-based medicine.
Abstract: The era of big data is coming, and evidence-based medicine is attracting increasing attention to improve decision making in medical practice via integrating evidence from well designed and conducted clinical research. Meta-analysis is a statistical technique widely used in evidence-based medicine for analytically combining the findings from independent clinical trials to provide an overall estimation of a treatment effectiveness. The sample mean and standard deviation are two commonly used statistics in meta-analysis but some trials use the median, the minimum and maximum values, or sometimes the first and third quartiles to report the results. Thus, to pool results in a consistent format, researchers need to transform those information back to the sample mean and standard deviation. In this article, we investigate the optimal estimation of the sample mean for meta-analysis from both theoretical and empirical perspectives. A major drawback in the literature is that the sample size, needless to say its imp...

1,353 citations


Authors

Showing all 7946 results

NameH-indexPapersCitations
Weihong Tan14089267151
Bin Liu138218187085
Jun Lu135152699767
John P. Giesy114116262790
Qiang Yang112111771540
Ming Hung Wong10371039738
Wei Wang95354459660
Jianhua Zhang9241528085
Xiaojun Wu91108831687
Guibin Jiang8885034633
Shu Tao8763927304
Paul K.S. Lam8748525614
Cheng-Yong Su8758132322
Hai-Long Jiang8619830946
Baowen Li8347723080
Network Information
Related Institutions (5)
University of Hong Kong
99.1K papers, 3.2M citations

92% related

National University of Singapore
165.4K papers, 5.4M citations

92% related

Nanyang Technological University
112.8K papers, 3.2M citations

92% related

The Chinese University of Hong Kong
93.6K papers, 3M citations

91% related

Zhejiang University
183.2K papers, 3.4M citations

90% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202346
2022246
20211,655
20201,479
20191,244
20181,093